不同复杂度心算任务基于脑电的因果连接流增益研究  

A Study of EEG Based Causal Connectivity Flow Gain for Mental Arithmetic Tasks in Different Complexities

作　　者：宋利清 祖红月 王索刚[1] 

机构地区：[1]天津医科大学生物医学工程与技术学院,天津300070

出　　处：《科学技术与工程》2016年第15期54-59,共6页Science Technology and Engineering

基　　金：国家自然科学基金(61175118);天津市自然科学基金(12JCYBJC19500);教育部留学回国基金(教外司留20111568)资助

摘　　要：已有的关于心算脑电的研究大多是从时域角度出发,该文旨在从频域上研究三种不同复杂度心算任务的多通道脑电的因果连结流增益特征变化,以及在不同脑区之间的差异。利用定向传递函数的方法估计得到因果连接矩阵,计算δ、θ、α、β、γ频段下信息流增益特征,得到三种任务流增益均在中央-顶叶较活跃;并且复杂的心算相对于简单心算引起了F4通道的流增益活跃。不同脑区比较得到三种任务在高频段,尤其是β频段更具有显著性差异。复杂的心算能够增加右侧额区和高频段左颞区的信息流活动,减少顶区的信息流活动。Most of studies on mental arithmetic EEG are from the time-domain perspective. Aims to study the flow gain characteristic of causal connectivity among multi-channel EEGs based on three mental arithmetic tasks indifferent complexity and the differences between brain regions in the frequency domain,the directed transfer function methods was applied to estimate the causal connectivity matrix and calculate the information flow gain characteristic under the three tasks in δ,θ,α,β,γ band. The flow gains under three tasks are more active at the centro-parietal area and a complex mental arithmetic caused F4 channel＇s flow gain more active than a simple mental arithmetic. Sub regional comparison indicates that three given types of mental arithmetic task have more significant differences of flow gains in high frequency band especially in β band. The complex mental arithmetic can increase the information flow activity on the right frontal and left temporal area of high frequency band and lends to a reduction of the information flow activities on the parietal area.

关 键 词：心算 多通道脑电 因果连结 定向传递函数 信息流增益 

分 类 号：R318.04[医药卫生—生物医学工程]